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  • 2022

Bibliografía: 2022

Nº de publicaciones: 250
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Multiliteracidades laborales inclusivas para los migrantes: una revisión sistemática
Esther Cores Bilbao (2022)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: migración y acogida

Resumen:

Texto completo

As in previous decades, demographic, financial and market forces continue to drive the increased migration inflows to recipient countries. Humanitarian reasons are, in turn, currently becoming the main impetus for migrants, who oftentimes flee situations of extreme vulnerability and distress in their countries of origin. The uprooting caused by forced migration must be met with efforts to support migrants’ emotional regrounding in host communities. Such integration greatly depends on social and economic inclusion, especially through access to quality employment opportunities. This paper examines contributions from previous research exploring a range of literacies aimed at securing...

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Temporal pathways to learning: How learning emerges in an open-ended collaborative activity.
Jauwairia Nasir, Mortadha Abderrahim, Aditi Kothiyal (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

The learning process depends on the nature of the learning environment, particularly in the case of open-ended learning environments, where the learning process is considered to be non-linear. In this paper, we report on the findings of employing a multimodal Hidden Markov Model (HMM) based methodology to investigate the temporal learning processes of two types of learners that have learning gains and a type that does not have learning gains in an open-ended collaborative learning activity. Considering log data, speech behavior, affective states and gaze patterns, we find that all learners start from a similar state of non-productivity, but once out of it they are unlikely to fall back into...

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Definition, roles, and potential research issues of the metaverse in education: An artificial intelligence perspective
Gwo-Jen Hwang, Shu-Yun Chien (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Texto completo

The metaverse has been recognized as one of the technologies with the greatest potential today. However, the use of the metaverse for educational purposes is seldom discussed. Most educators might be unaware of the features of the metaverse, not to mention the potential applications of this emerging technology. In this position paper, we aim to provide a clear definition of the metaverse. Potential applications and research issues of the metaverse in educational settings are also presented. Moreover, the roles of AI in the metaverse as well as metaverse-based education are discussed. It is expected that, via this paper, researchers from the fields of both computer science and educational...

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Propuesta de un corpus literario de narración gráfica contemporánea para la alfabetización de migrantes adultos
Lucía-Pilar Cancelas-Ouviña (2022)
Revista Nebrija de Lingüística Aplicada a la Enseñanza de Lenguas
Detalles Cerrar βœ•

Tipo: artículo

Metodología: propuesta didáctica

Temas: literatura

Resumen:

Texto completo

En este trabajo se propone la educación literaria como un complemento a la educación lingüística en la alfabetización de adultos en un idioma adicional tomando la narración gráfica como un canal de aprendizaje con múltiples posibilidades dentro del marco de la pedagogía de las multiliteracidades y del pensamiento visual. Para ello, se ha seleccionado un corpus literario de álbumes ilustrados, cómics y novelas gráficas sin palabras para la alfabetización de migrantes que pueden servir de apoyo en la enseñanza de la lengua del país de acogida y que dada su temática despiertan la resonancia afectiva de los lectores. A través de estos recursos no solo se fomenta la alfabetización lingüística,...

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AI-based multidisciplinary framework to assess the impact of gamified video-based learning through schema and emotion analysis
Anjana Junius Vidanaralage, Anuja Thimali Dharmaratne, Shamsul Haque (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Background: As a natural and continual process, the initial learning stages encompass mastering and recalling basic facts. The process proves effective with the integration of new information with pre-existing knowledge characterised as schema to facilitate memory encoding. Additionally, emotions also have the ability to modulate human cognition in terms of learning and memory. The recent advent of gamification in e-learning, which has garnered much scholarly and industrial interest, necessitates a thorough examination between video-based learning and its subsequent implications on schema, emotions, and gamification. Objectives: The current multidisciplinary research triangulated cognitive...

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Enhancing learning by Open Learner Model (OLM) driven data design
Judy Kay, Kathryn Bartimote, Kirsty Kitto (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Texto completo

There is a huge and growing amount of data that is already captured in the many, diverse digital tools that support learning. Additionally, learning data is often inaccessible to teachers or served in a manner that fails to support or inform their teaching and design practice. We need systematic, learner-centred ways for teachers to design learning data that supports them. Drawing on decades of Artificial Intelligence in Education (AIED) research, we show how to make use of important AIED concepts: (1) learner models; (2) Open Learner Models (OLMs); (3) scrutability and (4) Ontologies. We show how these concepts can be used in the design of OLMs, interfaces that enable a learner to see and...

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The role of learners’ competencies in artificial intelligence education
Ismaila Temitayo Sanusi, Sunday Adewale Olaleye, Friday Joseph Agbo (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

As society deals with the advances and disruptions owing to artificial intelligence, children must understand how it works. Especially that children grow up with these technologies will help them develop into informed citizens and better understand the world around them. While artificial intelligence education has been considered relevant, there is a growing global trend to teach artificial intelligence across K-12 levels. This development has necessitated designing and implementing artificial intelligence curriculum and related resources in schools. Notwithstanding that the developed curriculum may be adopted in another context, unique needs exist that suggest contextual and cultural...

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Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI?
Lina Markauskaite, Rebecca Marrone, Oleksandra Poquet (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial

Resumen:

Texto completo

The proliferation of AI in many aspects of human life—from personal leisure, to collaborative professional work, to global policy decisions—poses a sharp question about how to prepare people for an interconnected, fast-changing world which is increasingly becoming saturated with technological devices and agentic machines. What kinds of capabilities do people need in a world infused with AI? How can we conceptualise these capabilities? How can we help learners develop them? How can we empirically study and assess their development? With this paper, we open the discussion by adopting a dialogical knowledge-making approach. Our team of 11 co-authors participated in an orchestrated written...

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A systematic review of ontology use in E-Learning recommender system
Nur W. Rahayu, Ridi Ferdiana, Sri S. Kusumawardani (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Texto completo

Ontology and knowledge-based systems typically provide e-learning recommender systems. However, ontology use in such systems is not well studied in systematic detail. Therefore, this research examines the development and evaluation of ontology-based recommender systems. The study also discusses technical ontology use and the recommendation process. We identified multidisciplinary ontology-based recommender systems in 28 journal articles. These systems combined ontology with artificial intelligence, computing technology, education, education psychology, and social sciences. Student models and learning objects remain the primary ontology use, followed by feedback, assessments, and context...

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AI-Induced guidance: Preserving the optimal Zone of Proximal Development
Chris Ferguson, Egon L. van den Broek, Herre van Oostendorp (2022)
Computers & Education: Artificial Intelligence
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Texto completo

Holding the promise of higher learning outcomes, discovery learning utilizes intrinsic motivation to provide an enjoyable self-directed learning experience. Unfortunately, this approach can also lead to a sub-optimal cognitive load, which hinders learning. To avoid this, players must be in the optimal Zone of Proximal Development (ZPD). A way of accomplishing this is to make use of Artificial Intelligence in a narrative-centered discovery game using adaptive guidance. Textual instructions were automatically adapted in real-time to ensure a personalized challenge for one group of learners, where a control group received static instructions. Compared to the control group, the learners with...

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